The Ledger
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Feldman: Cerebras sales were 10x higher than Groq's at acquisition
“And we were the fastest at it, and the largest, and, you know, our sales were more than 10 times the Grox, and they paid twenty billion dollars for the number two collector.”
Patel: Groq missed revenue significantly before being acquired
“In fact, they missed revenue last year significantly and yet they got bought, right? Because the value of the IP was there and the value of the team.”
Patel: Groq chips cannot cost-effectively perform general-purpose large model inference
“In a general purpose workload, crock. Grok doesn't work, right? You know, it can't train, it can't, you know, it can't inference really, really large models cost efficiently, right? You can't serve many, many, many users, but what it can do is it can go block,…”
Ramaswamy: AI inference will become significantly faster and cheaper in 2025
“The world of inference, not foundation models, the world of inference is going to go through so much change this year, both in terms of GPU availability, which is easing up quite a bit, But also in terms of people like Grok, I think the one with the K or the Q…”
Lower LLM latency requires specialized hardware over GPU software platforms
“Unfortunately, I think what people don't realize is that the way to get better latency, like significantly better latency, is actually in the hardware. And that's why we see Grok, G-R-O-Q be able to exceed all these GPU-based inference platforms significantly,…”